Zobrazeno 1 - 10
of 29 089
pro vyhledávání: '"Ali, H. A."'
This paper studies cache-aided wireless networks in the presence of active intelligent reflecting surfaces (IRS) from an information-theoretic perspective. Specifically, we explore interference management in a cache-aided wireless network assisted by
Externí odkaz:
http://arxiv.org/abs/2411.17559
Autor:
Chamseddine, Ali H., Khaldieh, Mariam
A formulation of discrete gravity was recently proposed based on defining a lattice and a shift operator connecting the cells. Spinors on such a space will have rotational SO(d) invariance which is taken as the fundamental symmetry. Inspired by latti
Externí odkaz:
http://arxiv.org/abs/2409.07536
We propose a computation of curvature of arbitrary two-dimensional surfaces of three-dimensional objects, which is a contribution to discrete gravity with potential applications in network geometry. We begin by linking each point of the surface in qu
Externí odkaz:
http://arxiv.org/abs/2409.04375
Publikováno v:
Wasit Journal for Pure Sciences, 3(3),1-11, 30 September 2024
This current article aims to study a new subclass of meromorphic functions with positive coefficients by reconstructing a new operator in the punctured open disc. Also, some geometric properties are considered and investigated, such results as coeffi
Externí odkaz:
http://arxiv.org/abs/2408.08103
Autor:
Abdisatarov, B., Bafia, D., Murthy, A., Eremeev, G., Elsayed-Ali, H. E., Lee, J., Netepenko, A., Carlos, C. P. A., Leith, S., Rosaz, G. J., Romanenko, A., Grassellino, A.
Niobium films are a key component in modern two-dimensional superconducting qubits, yet their contribution to the total qubit decay rate is not fully understood. The presence of different layers of materials and interfaces makes it difficult to ident
Externí odkaz:
http://arxiv.org/abs/2407.08856
Autor:
Zhaikhan, Ainur, Sayed, Ali H.
This study proposes the use of a social learning method to estimate a global state within a multi-agent off-policy actor-critic algorithm for reinforcement learning (RL) operating in a partially observable environment. We assume that the network of a
Externí odkaz:
http://arxiv.org/abs/2407.04974
This paper proposes a theoretical framework to evaluate and compare the performance of gradient-descent algorithms for distributed learning in relation to their behavior around local minima in nonconvex environments. Previous works have noticed that
Externí odkaz:
http://arxiv.org/abs/2406.20006
Communication-constrained algorithms for decentralized learning and optimization rely on local updates coupled with the exchange of compressed signals. In this context, differential quantization is an effective technique to mitigate the negative impa
Externí odkaz:
http://arxiv.org/abs/2406.18418
Lower-bound analyses for nonconvex strongly-concave minimax optimization problems have shown that stochastic first-order algorithms require at least $\mathcal{O}(\varepsilon^{-4})$ oracle complexity to find an $\varepsilon$-stationary point. Some wor
Externí odkaz:
http://arxiv.org/abs/2406.13041
Autor:
Bafghi, Ali H. Abdollahi, Mirmohseni, Mahtab, Nasiri-Kenari, Masoumeh, Maham, Behrouz, Spagnolini, Umberto
In this paper, we study the impact of the existence of multiple IRSs in a homogeneous wireless network, in which all BSs, users (U), and IRSs are spatially distributed by an independent homogeneous PPP, with density $\lambda_{{\rm BS}}\rm{[BS/m^2]}$,
Externí odkaz:
http://arxiv.org/abs/2406.07352